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Computer-aided Diagnosis of Melanoma: A Review of Existing Knowledge and Strategies

[ Vol. 16 , Issue. 7 ]

Author(s):

Ananjan Maiti*, Biswajoy Chatterjee, Amira S. Ashour and Nilanjan Dey   Pages 835 - 854 ( 20 )

Abstract:


Computer-aided diagnosis (CAD) systems are the best alternative for immediate disclosure and diagnosis of skin diseases. Such systems comprise several image processing procedures, including segmentation, feature extraction and artificial intelligence (AI) based methods. This survey highlights different CAD methodologies for diagnosing Melanoma and related skin diseases. It has also discussed types, stages, treatments and various imaging techniques of skin cancer. Currently, researchers developed new techniques to detect each stage. Extensive studies on melanoma cancer detection were performed by incorporating advanced machine learning. Still, there is a high need for an accurate, faster, affordable, portable methodology for a CAD system. This will strengthen the work in related fields and address the future direction of a similar kind of research.

Keywords:

Skin cancer, melanoma, CAD, treatment, pre-processing, segmentation, classification.

Affiliation:

Department of Information Technology, Techno India College of Technology, Kolkata, Department of Computer Science and Engineering, University of Engineering and Management, Kolkata, Department of Electronics and Electrical Communications Engineering, Faculty of Engineering, Tanta University, Tanta, Department of Information Technology, Techno India College of Technology, Kolkata

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